A New Hybrid Meta-Heuristics Algorithms to Solve APP Problems
Bayda Atiya Kalaf, Ghadeer Jasim Mohammed, Muna D. Salman
Abstract
Abstract In this paper, a new hybrid algorithm for linear programming model based on Aggregate production planning problems is proposed. The new hybrid algorithm of a simulated annealing (SA) and particle swarm optimization (PSO) algorithms. PSO algorithm employed for a good balance between exploration and exploitation in SA in order to be effective and efficient (speed and quality) for solving linear programming model. Finding results show that the proposed approach is achieving within a reasonable computational time comparing with PSO and SA algorithms.
Topics & Concepts
Hybrid algorithm (constraint satisfaction)Particle swarm optimizationSimulated annealingComputer scienceMathematical optimizationHeuristicsAlgorithmLinear programmingMathematicsConstraint programmingStochastic programmingConstraint logic programmingMetaheuristic Optimization Algorithms ResearchVehicle Routing Optimization MethodsScheduling and Optimization Algorithms